Landmark Graphics Corporation

Jose Antonio Rodriguez

Alvin Stanley Cullick

Gustavo Carvajal

Luigi Saputelli

Giuseppe Moricca

Gerardo Mijares

Alejandro Garcia

Michael Nikolaou

Sathish Sankaran

Miguel Villamizar

Maiquel Manuel Querales

Ankur Awasthi

Rama Krishna Vellanki

William Douglas Johnson

Carlos M LopezGarcia

Joydeep Dhar

Jordani Rebeschini

Sergio Henrique Guerra De Sousa

Carlos M Lopezgarcia

Gustavo A Carvajal

Maiquel Querales

Rama K Vellanki

Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.

Systems and methods for reducing reservoir simulator model run time

Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.

Systems and methods for optimization of real time production operations

Systems and methods for monitoring, diagnosing and optimizing operation of a gas lift (GL) system, at least some of which include a method that includes collecting measured data representative of the GL system's state, storing the measured data, comparing the measured data to a well model's calculated data for the well and identifying likely conditions of the GL system based on mismatches between the measured data and the calculated data. The method further includes updating the model to reflect the likely conditions and selected corrections of the likely conditions, generating GL system performance curves using the updated model and presenting to a user actions recommended to achieve a GL system performance consistent with a GL system operating point on at least one of the GL system performance curves.

Monitoring, diagnosing and optimizing gas lift operations by presenting one or more actions recommended to achieve a GL system performance

Selecting hydrocarbon wells for well testing. The selecting may include identifying hydrocarbon wells whose last well test took place prior to a predetermined date; identifying hydrocarbon wells with a parameter that exceeds a predetermined threshold; and selecting a predetermined number of hydrocarbon wells from the wells identified.

Method and system of selecting hydrocarbon wells for well testing

The present disclosure describes systems and methods for monitoring, diagnosing and optimizing operation of an electric submersible pump (ESP). At least some illustrative embodiments include a method that includes collecting measured data representative of a state of an ESP within a well or of well conditions and storing the measured data, matching a nodal analysis model of the well to the well by matching one or more modeled values to corresponding measured data, and identifying one or more likely conditions of the ESP based at least in part on data generated by a matched model. The method further includes updating the matched model to reflect a selected correction of one of the likely conditions identified, generating ESP performance curves using the updated model, and presenting to a user an action recommended to achieve an ESP performance consistent with an ESP operating point selected from one of the ESP performance curves.

Monitoring, diagnosing and optimizing electric submersible pump operations

Growing community of inventors

Katy, TX, United States of America

Jose Antonio Rodriguez